Evidence map›Paper›PMID 42343057›Full record

ArticleJournal of general internal medicine2026

Trends in General Internal Medicine Patient and Care Complexity from 2017 to 2022 Across 21 Hospitals.

Alireza Ghahtarani, Surain B Roberts, Walter P Wodchis, Fahad Razak, Amol A Verma, Vahid Sarhangian

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of general internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alireza GhahtaraniDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.
Surain B RobertsLi Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
Walter P WodchisInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Fahad RazakInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Amol A VermaInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
Vahid SarhangianDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada. v.sarhangian@utoronto.ca.ORCID http://orcid.org/0000-0003-2633-6496

Funding

CIHR 187070
6 · The paper itself

Abstract

backgroundThere is ongoing uncertainty about whether hospital inpatients have become more complex over time, and how this might contribute to strained hospital resources. We examined measures of patient and care complexity for General Internal Medicine (GIM) inpatients over a 7-year period.

methodsThis retrospective cohort study used individual-level administrative and clinical data for GIM hospitalizations at 21 Ontario hospitals between April 2015 and June 2022. Complexity measures included patient characteristics (e.g., advanced age), patient outcomes (e.g., in-hospital mortality), and resource use (e.g., imaging). Hospitalizations were categorized into complex and non-complex categories and generalized linear mixed-effects models were used to estimate adjusted rate ratios, representing the relative change in the number of monthly admissions in each year for each category compared to 2015-2016.

resultsThe cohort included 687,512 hospitalizations (median [IQR] age, 73 [57-84] years; 50% female). The volume of admissions grew by 17%, from 103,851 in 2015-2016 to 121,103 in 2021-2022. There was a consistent increase in the use of radiology tests, particularly driven by greater use of CT scans (49% of hospitalizations in 2015-2016, 61% in 2021-2022, adjusted rate ratio 1.45 [CI, 1.40-1.50]) and MRI scans (11% in 2015-2016, 14% in 2021-2022, adjusted rate ratio 1.46 [CI, 1.39-1.54]). Other patient characteristics, processes of care, and outcomes did not consistently change across the study period. The COVID-19 pandemic period (April 2020-June 2022) was associated with increased complexity with respect to hospital length of stay, in-hospital mortality, laboratory testing, and costs of care.

interpretationGIM admission volume increased over the study period, but patient complexity as measured by the metrics considered here did not show consistent increases. The rising intensity of imaging use without evident changes in patient characteristics or short-term outcomes warrants further investigation.

Identifiers

PMID42343057

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.